Understanding Machine Learning: From Theory to Algorithms
Overview & Synopsis
Machine learning makes use of computer programs to discover meaningful patters in complex data. It is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage.
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Document Information
| Document Title | Understanding Machine Learning: From Theory to Algorithms |
|---|---|
| Author / Organization | Shai Shalev-Shwartz and Shai Ben-David |
| Subject & Discipline | Machine Learning, Neural Networks and Deep Learning, Artificial Intelligence, Data Analysis and Data Mining, Statistics, R Language and SAS Programming, Operations Research (OR), Linear Programming, Optimization, and Approximation |
| Categories | Machine Learning |
| ISBN | 1107057132 |
| Resource Verification | Verification pending |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-118332 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |